{
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   "source": [
    "![Finance Toolkit](https://github.com/JerBouma/FinanceToolkit/assets/46355364/198d47bd-e1b3-492d-acc4-5d9f02d1d009)\n",
    "\n",
    "**The FinanceToolkit** is an open-source toolkit in which all relevant financial ratios (100+), indicators and performance measurements are written down in the most simplistic way allowing for complete transparency of the calculation method. This allows you to not have to rely on metrics from other providers and, given a financial statement, allow for efficient manual calculations. This leads to one uniform method of calculation being applied that is available and understood by everyone."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2937a8f2",
   "metadata": {},
   "source": [
    "# Installation\n",
    "To install the FinanceToolkit it simply requires the following:\n",
    "\n",
    "```\n",
    "pip install financetoolkit -U\n",
    "```\n",
    "\n",
    "From within Python use:\n",
    "\n",
    "```python\n",
    "from financetoolkit import Toolkit\n",
    "```\n",
    " \n",
    "To be able to get started, you need to obtain an API Key from FinancialModelingPrep. This is used to gain access to 30+ years of financial statement both annually and quarterly. Note that the Free plan is limited to 250 requests each day, 5 years of data and only features companies listed on US exchanges.\n",
    "\n",
    "___ \n",
    "\n",
    "<b><div align=\"center\">Obtain an API Key from FinancialModelingPrep <a href=\"https://www.jeroenbouma.com/fmp\" target=\"_blank\">here</a>.</div></b>\n",
    "___\n",
    "\n",
    "Through the link you are able to subscribe for the free plan and also premium plans at a **15% discount**. This is an affiliate link and thus supports the project at the same time. I have chosen FinancialModelingPrep as a source as I find it to be the most transparent, reliable and at an affordable price. When you notice that data is inaccurate or have any other issue related to the data, note that I simply provide the means to access this data and I am not responsible for the accuracy of the data itself. For this, use <a href=\"https://site.financialmodelingprep.com/contact\" target=\"_blank\">their contact form</a> or provide the data yourself. \n",
    "\n",
    "The current Notebook is revolved around the Portfolio class. If you are interested in the other modules, you can find the related Notebooks below. **Please view the documentation <a href=\"https://www.jeroenbouma.com/projects/financetoolkit/docs/portfolio\" target=\"_blank\">here</a> to find all the available indicators.**\n",
    "\n",
    "<style>\n",
    ".button {\n",
    "  color: #fff !important;\n",
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    "\n",
    "<div style=\"display: flex; justify-content: space-between;\" class=\"show-on-desktop\">\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit//getting-started\" target=\"_blank\" class=\"button\" style=\"flex: 1;margin-right:5px\"\">Toolkit</a>\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit//discovery-module\" target=\"_blank\" class=\"button\" style=\"flex: 1;margin-right:5px\">Discovery</a>\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit//ratios-module\" target=\"_blank\" class=\"button\" style=\"flex: 1;margin-right:5px\">Ratios</a>\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit//models-module\" target=\"_blank\" class=\"button\" style=\"flex: 1;margin-right:5px\">Models</a>\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit//options-module\" target=\"_blank\" class=\"button\" style=\"flex: 1;margin-right:5px\">Options</a>\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit//technicals-module\" target=\"_blank\" class=\"button\" style=\"flex: 1;margin-right:5px\">Technicals</a>\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit//risk-module\" target=\"_blank\" class=\"button\" style=\"flex: 1;margin-right:5px\">Risk</a>\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit//performance-module\" target=\"_blank\" class=\"button\" style=\"flex: 1;margin-right:5px\">Performance</a>\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit//economics-module\"  target=\"_blank\" class=\"button\" style=\"flex: 1;margin-right:5px\">Economics</a>\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit//fixed-income-module\" target=\"_blank\" class=\"button\" style=\"flex: 1;margin-right:5px\">Fixed income</a>\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit//portfolio-module\" target=\"_blank\" class=\"button button-current\" style=\"flex: 1; \">Portfolio</a>\n",
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   "source": [
    "from financetoolkit import Portfolio\n",
    "\n",
    "API_KEY = \"FINANCIAL_MODELING_PREP_API_KEY\""
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "a3f7fc24",
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   "source": [
    "The Portfolio Module is meant to be used for the analysis of your own portfolio. This can be a portfolio of stocks, bonds, real estate or any other type of asset. The module allows you to create overviews to understand performance (as opposed to a benchmark) and see your profit-and-loss over time. It also allows you to directly connect to the Toolkit functionalities itself meaning that you can calculate any of the 150+ metrics for the assets in your portfolio and your actual portfolio (weighted average over time).\n",
    "\n",
    "**It is important to note that you will need a specific XLSX, XLS or CSV template in which you provide the data of your portfolio. This template can be acquired by not providing a `portfolio_dataset` parameter as follows.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "be5c369f",
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    {
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     "text": [
      "2025-09-09 16:46:26 - financetoolkit - INFO - No portfolio dataset provided thus loading the example portfolio for demonstration purposes.\n",
      "Please find the templates in your current directory under the names 'portfolio_template.xlsx' and 'portfolio_template.csv'.\n",
      "Choose your preferred format and provide the path within the portfolio_dataset parameter.\n"
     ]
    }
   ],
   "source": [
    "portfolio = Portfolio(api_key=API_KEY, benchmark_ticker=\"^GSPC\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8ade0331",
   "metadata": {},
   "source": [
    "As written above, it provides an example portfolio and places two files, `portfolio_template.xlsx` and `portfolio_template.csv`, in the current working directory. This template can be used to fill in your own portfolio data. The template consists of the following columns:\n",
    "\n",
    "- `Date`: The date of the transaction (e.g. 2021-01-01)\n",
    "- `Identifier`: The ticker of the traded asset (e.g. AAPL)\n",
    "- `Currency`: The currency of the asset (e.g. USD)\n",
    "- `Volume`: The amount of shares or contracts (e.g. 10 for buy orders, and -10 for sell orders)\n",
    "- `Price`: The price of the asset at the time of the transaction (e.g. 100)\n",
    "- `Costs`: The costs of the transaction (e.g. -3)\n",
    "\n",
    "If you open the XLSX file you will see the following structure (the CSV has the same format):\n",
    "\n",
    "| Date       | Identifier | Currency | Volume | Price | Costs  |\n",
    "| ---------- | ---------- | -------- | ------ | ----- | ------ |\n",
    "| 2000-01-07 | ASML       | USD      | 9.00   | 30.82 | \\-3.00 |\n",
    "| 2000-01-10 | SKY        | USD      | 12.00  | 15.23 | \\-2.00 |\n",
    "| 2000-01-28 | AMZN       | USD      | 8.00   | 3.06  | \\-3.00 |\n",
    "| 2000-02-23 | FIX        | USD      | 8.00   | 6.99  | 0.00   |\n",
    "| 2000-02-28 | MSFT       | USD      | 13.00  | 28.35 | 0.00   |\n",
    "| 2000-03-31 | FIX        | USD      | 9.00   | 5.14  | \\-1.00 |\n",
    "| 2000-04-06 | SKY        | USD      | 11.00  | 13.70 | \\-2.00 |\n",
    "| 2000-04-27 | AMD        | USD      | 10.00  | 42.81 | \\-3.00 |\n",
    "| 2000-05-08 | AAPL       | USD      | 5.00   | 0.83  | \\-2.00 |\n",
    "| 2000-06-01 | FICO       | USD      | 15.00  | 12.14 | \\-3.00 |\n",
    "| 2000-06-07 | SKY        | USD      | \\-1.00 | 14.04 | \\-1.00 |\n",
    "\n",
    "By adjusting this template with your own assets (for the Identifier column, I recommend looking up your assets on [Yahoo Finance](https://finance.yahoo.com/)) you will then be able to use the Portfolio Module and calculate all the metrics for your portfolio. If you run into issues, please ensure that you do not change the format of the columns or the column names.\n",
    "\n",
    "For this Notebook, we proceed with the example portfolio that is provided in the template. We will calculate the metrics for this portfolio and provide an overview of the performance. Let's start off by getting an overal impression of the assets in the portfolio and their performance."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "0306da9e-d0f9-413c-aa64-c019848db89c",
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   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Obtaining historical data: 100%|██████████| 26/26 [00:02<00:00,  9.17it/s]\n"
     ]
    },
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Volume</th>\n",
       "      <th>Costs</th>\n",
       "      <th>Price</th>\n",
       "      <th>Invested</th>\n",
       "      <th>Latest Price</th>\n",
       "      <th>Latest Value</th>\n",
       "      <th>Return</th>\n",
       "      <th>Return Value</th>\n",
       "      <th>Benchmark Return</th>\n",
       "      <th>Volatility</th>\n",
       "      <th>Benchmark Volatility</th>\n",
       "      <th>Alpha</th>\n",
       "      <th>Beta</th>\n",
       "      <th>Weight</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Identifier</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AAPL</th>\n",
       "      <td>137.0</td>\n",
       "      <td>-28.0</td>\n",
       "      <td>38.9692</td>\n",
       "      <td>5310.7824</td>\n",
       "      <td>236.0</td>\n",
       "      <td>32332.0</td>\n",
       "      <td>5.088</td>\n",
       "      <td>27021.2176</td>\n",
       "      <td>2.5141</td>\n",
       "      <td>0.3858</td>\n",
       "      <td>0.1937</td>\n",
       "      <td>2.5739</td>\n",
       "      <td>1.2235</td>\n",
       "      <td>0.0349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ALGN</th>\n",
       "      <td>81.0</td>\n",
       "      <td>-34.0</td>\n",
       "      <td>117.3645</td>\n",
       "      <td>9472.5274</td>\n",
       "      <td>139.07</td>\n",
       "      <td>11264.67</td>\n",
       "      <td>0.1892</td>\n",
       "      <td>1792.1426</td>\n",
       "      <td>2.422</td>\n",
       "      <td>0.6001</td>\n",
       "      <td>0.1937</td>\n",
       "      <td>-2.2328</td>\n",
       "      <td>1.525</td>\n",
       "      <td>0.0122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AMD</th>\n",
       "      <td>78.0</td>\n",
       "      <td>-30.0</td>\n",
       "      <td>11.9075</td>\n",
       "      <td>898.7835</td>\n",
       "      <td>153.06</td>\n",
       "      <td>11938.68</td>\n",
       "      <td>12.2832</td>\n",
       "      <td>11039.8965</td>\n",
       "      <td>4.2229</td>\n",
       "      <td>0.6159</td>\n",
       "      <td>0.1937</td>\n",
       "      <td>8.0602</td>\n",
       "      <td>1.687</td>\n",
       "      <td>0.0129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AMZN</th>\n",
       "      <td>116.0</td>\n",
       "      <td>-28.0</td>\n",
       "      <td>41.5471</td>\n",
       "      <td>4791.4596</td>\n",
       "      <td>235.1786</td>\n",
       "      <td>27280.7176</td>\n",
       "      <td>4.6936</td>\n",
       "      <td>22489.258</td>\n",
       "      <td>2.0801</td>\n",
       "      <td>0.4889</td>\n",
       "      <td>0.1937</td>\n",
       "      <td>2.6135</td>\n",
       "      <td>1.1765</td>\n",
       "      <td>0.0294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ASML</th>\n",
       "      <td>129.0</td>\n",
       "      <td>-25.0</td>\n",
       "      <td>33.3184</td>\n",
       "      <td>4273.0691</td>\n",
       "      <td>794.83</td>\n",
       "      <td>102533.07</td>\n",
       "      <td>22.9952</td>\n",
       "      <td>98260.0009</td>\n",
       "      <td>4.2295</td>\n",
       "      <td>0.454</td>\n",
       "      <td>0.1937</td>\n",
       "      <td>18.7657</td>\n",
       "      <td>1.4364</td>\n",
       "      <td>0.1106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AVGO</th>\n",
       "      <td>66.0</td>\n",
       "      <td>-24.0</td>\n",
       "      <td>21.2611</td>\n",
       "      <td>1379.2318</td>\n",
       "      <td>340.04</td>\n",
       "      <td>22442.64</td>\n",
       "      <td>15.2718</td>\n",
       "      <td>21063.4082</td>\n",
       "      <td>1.599</td>\n",
       "      <td>0.3762</td>\n",
       "      <td>0.1937</td>\n",
       "      <td>13.6728</td>\n",
       "      <td>1.4078</td>\n",
       "      <td>0.0242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BAC</th>\n",
       "      <td>80.0</td>\n",
       "      <td>-30.0</td>\n",
       "      <td>20.0851</td>\n",
       "      <td>1576.8066</td>\n",
       "      <td>50.18</td>\n",
       "      <td>4014.4</td>\n",
       "      <td>1.5459</td>\n",
       "      <td>2437.5934</td>\n",
       "      <td>2.123</td>\n",
       "      <td>0.435</td>\n",
       "      <td>0.1937</td>\n",
       "      <td>-0.5771</td>\n",
       "      <td>1.174</td>\n",
       "      <td>0.0043</td>\n",
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       "    <tr>\n",
       "      <th>BLDR</th>\n",
       "      <td>48.0</td>\n",
       "      <td>-18.0</td>\n",
       "      <td>32.1805</td>\n",
       "      <td>1526.6658</td>\n",
       "      <td>140.865</td>\n",
       "      <td>6761.52</td>\n",
       "      <td>3.4289</td>\n",
       "      <td>5234.8542</td>\n",
       "      <td>1.573</td>\n",
       "      <td>0.6715</td>\n",
       "      <td>0.1937</td>\n",
       "      <td>1.856</td>\n",
       "      <td>1.4651</td>\n",
       "      <td>0.0073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CAMT</th>\n",
       "      <td>42.0</td>\n",
       "      <td>-19.0</td>\n",
       "      <td>10.0213</td>\n",
       "      <td>401.896</td>\n",
       "      <td>81.88</td>\n",
       "      <td>3438.96</td>\n",
       "      <td>7.5568</td>\n",
       "      <td>3037.064</td>\n",
       "      <td>2.3666</td>\n",
       "      <td>0.681</td>\n",
       "      <td>0.1937</td>\n",
       "      <td>5.1902</td>\n",
       "      <td>1.4031</td>\n",
       "      <td>0.0037</td>\n",
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       "    <tr>\n",
       "      <th>CWST</th>\n",
       "      <td>63.0</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>20.1348</td>\n",
       "      <td>1260.4926</td>\n",
       "      <td>92.1943</td>\n",
       "      <td>5808.2409</td>\n",
       "      <td>3.6079</td>\n",
       "      <td>4547.7483</td>\n",
       "      <td>2.2271</td>\n",
       "      <td>0.5413</td>\n",
       "      <td>0.1937</td>\n",
       "      <td>1.3808</td>\n",
       "      <td>0.7804</td>\n",
       "      <td>0.0063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EMXC</th>\n",
       "      <td>16.0</td>\n",
       "      <td>-11.0</td>\n",
       "      <td>50.3017</td>\n",
       "      <td>793.8273</td>\n",
       "      <td>64.9701</td>\n",
       "      <td>1039.5216</td>\n",
       "      <td>0.3095</td>\n",
       "      <td>245.6943</td>\n",
       "      <td>0.9904</td>\n",
       "      <td>0.1953</td>\n",
       "      <td>0.1937</td>\n",
       "      <td>-0.6808</td>\n",
       "      <td>0.7644</td>\n",
       "      <td>0.0011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FICO</th>\n",
       "      <td>116.0</td>\n",
       "      <td>-21.0</td>\n",
       "      <td>36.5914</td>\n",
       "      <td>4223.5986</td>\n",
       "      <td>1535.5</td>\n",
       "      <td>178118.0</td>\n",
       "      <td>41.1721</td>\n",
       "      <td>173894.4014</td>\n",
       "      <td>3.7597</td>\n",
       "      <td>0.3746</td>\n",
       "      <td>0.1937</td>\n",
       "      <td>37.4124</td>\n",
       "      <td>1.2709</td>\n",
       "      <td>0.1921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FIX</th>\n",
       "      <td>122.0</td>\n",
       "      <td>-20.0</td>\n",
       "      <td>14.12</td>\n",
       "      <td>1702.6347</td>\n",
       "      <td>703.23</td>\n",
       "      <td>85794.06</td>\n",
       "      <td>49.389</td>\n",
       "      <td>84091.4253</td>\n",
       "      <td>3.1487</td>\n",
       "      <td>0.4588</td>\n",
       "      <td>0.1937</td>\n",
       "      <td>46.2403</td>\n",
       "      <td>1.2731</td>\n",
       "      <td>0.0926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GOOGL</th>\n",
       "      <td>146.0</td>\n",
       "      <td>-29.0</td>\n",
       "      <td>29.1726</td>\n",
       "      <td>4230.1999</td>\n",
       "      <td>235.7073</td>\n",
       "      <td>34413.2658</td>\n",
       "      <td>7.1351</td>\n",
       "      <td>30183.0659</td>\n",
       "      <td>2.54</td>\n",
       "      <td>0.3064</td>\n",
       "      <td>0.1937</td>\n",
       "      <td>4.5951</td>\n",
       "      <td>1.1525</td>\n",
       "      <td>0.0371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KHC</th>\n",
       "      <td>9.0</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>39.6994</td>\n",
       "      <td>349.2948</td>\n",
       "      <td>26.875</td>\n",
       "      <td>241.875</td>\n",
       "      <td>-0.3075</td>\n",
       "      <td>-107.4198</td>\n",
       "      <td>1.3738</td>\n",
       "      <td>0.2715</td>\n",
       "      <td>0.1937</td>\n",
       "      <td>-1.6814</td>\n",
       "      <td>0.5935</td>\n",
       "      <td>0.0003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MCHI</th>\n",
       "      <td>54.0</td>\n",
       "      <td>-12.0</td>\n",
       "      <td>47.3192</td>\n",
       "      <td>2543.2341</td>\n",
       "      <td>62.995</td>\n",
       "      <td>3401.73</td>\n",
       "      <td>0.3376</td>\n",
       "      <td>858.4959</td>\n",
       "      <td>0.7128</td>\n",
       "      <td>0.2683</td>\n",
       "      <td>0.1937</td>\n",
       "      <td>-0.3752</td>\n",
       "      <td>0.7654</td>\n",
       "      <td>0.0037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>META</th>\n",
       "      <td>15.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>319.7164</td>\n",
       "      <td>4794.7457</td>\n",
       "      <td>760.71</td>\n",
       "      <td>11410.65</td>\n",
       "      <td>1.3798</td>\n",
       "      <td>6615.9043</td>\n",
       "      <td>0.6432</td>\n",
       "      <td>0.3985</td>\n",
       "      <td>0.1937</td>\n",
       "      <td>0.7366</td>\n",
       "      <td>1.3194</td>\n",
       "      <td>0.0123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MPWR</th>\n",
       "      <td>116.0</td>\n",
       "      <td>-27.0</td>\n",
       "      <td>255.8807</td>\n",
       "      <td>29655.1564</td>\n",
       "      <td>849.14</td>\n",
       "      <td>98500.24</td>\n",
       "      <td>2.3215</td>\n",
       "      <td>68845.0836</td>\n",
       "      <td>1.3093</td>\n",
       "      <td>0.4731</td>\n",
       "      <td>0.1937</td>\n",
       "      <td>1.0122</td>\n",
       "      <td>1.7913</td>\n",
       "      <td>0.1063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MSFT</th>\n",
       "      <td>105.0</td>\n",
       "      <td>-11.0</td>\n",
       "      <td>40.6437</td>\n",
       "      <td>4256.592</td>\n",
       "      <td>499.32</td>\n",
       "      <td>52428.6</td>\n",
       "      <td>11.317</td>\n",
       "      <td>48172.008</td>\n",
       "      <td>3.3206</td>\n",
       "      <td>0.3016</td>\n",
       "      <td>0.1937</td>\n",
       "      <td>7.9965</td>\n",
       "      <td>1.1838</td>\n",
       "      <td>0.0566</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NFLX</th>\n",
       "      <td>114.0</td>\n",
       "      <td>-32.0</td>\n",
       "      <td>125.4435</td>\n",
       "      <td>14268.5564</td>\n",
       "      <td>1248.8</td>\n",
       "      <td>142363.2</td>\n",
       "      <td>8.9774</td>\n",
       "      <td>128094.6436</td>\n",
       "      <td>2.7065</td>\n",
       "      <td>0.5493</td>\n",
       "      <td>0.1937</td>\n",
       "      <td>6.2709</td>\n",
       "      <td>1.1174</td>\n",
       "      <td>0.1536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NVDA</th>\n",
       "      <td>69.0</td>\n",
       "      <td>-27.0</td>\n",
       "      <td>2.0551</td>\n",
       "      <td>114.8003</td>\n",
       "      <td>167.19</td>\n",
       "      <td>11536.11</td>\n",
       "      <td>99.4885</td>\n",
       "      <td>11421.3097</td>\n",
       "      <td>3.2187</td>\n",
       "      <td>0.5921</td>\n",
       "      <td>0.1937</td>\n",
       "      <td>96.2698</td>\n",
       "      <td>1.8234</td>\n",
       "      <td>0.0124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OXY</th>\n",
       "      <td>27.0</td>\n",
       "      <td>-15.0</td>\n",
       "      <td>39.7355</td>\n",
       "      <td>1057.8579</td>\n",
       "      <td>45.9665</td>\n",
       "      <td>1241.0955</td>\n",
       "      <td>0.1732</td>\n",
       "      <td>183.2376</td>\n",
       "      <td>3.5958</td>\n",
       "      <td>0.4032</td>\n",
       "      <td>0.1937</td>\n",
       "      <td>-3.4226</td>\n",
       "      <td>1.2512</td>\n",
       "      <td>0.0013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SKY</th>\n",
       "      <td>126.0</td>\n",
       "      <td>-23.0</td>\n",
       "      <td>18.0884</td>\n",
       "      <td>2256.1393</td>\n",
       "      <td>76.05</td>\n",
       "      <td>9582.3</td>\n",
       "      <td>3.2472</td>\n",
       "      <td>7326.1607</td>\n",
       "      <td>3.9006</td>\n",
       "      <td>0.5366</td>\n",
       "      <td>0.1937</td>\n",
       "      <td>-0.6534</td>\n",
       "      <td>1.4196</td>\n",
       "      <td>0.0103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VOO</th>\n",
       "      <td>77.0</td>\n",
       "      <td>-12.0</td>\n",
       "      <td>238.4994</td>\n",
       "      <td>18352.4523</td>\n",
       "      <td>595.43</td>\n",
       "      <td>45848.11</td>\n",
       "      <td>1.4982</td>\n",
       "      <td>27495.6577</td>\n",
       "      <td>1.3072</td>\n",
       "      <td>0.1714</td>\n",
       "      <td>0.1937</td>\n",
       "      <td>0.191</td>\n",
       "      <td>0.9943</td>\n",
       "      <td>0.0495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VSS</th>\n",
       "      <td>98.0</td>\n",
       "      <td>-21.0</td>\n",
       "      <td>77.7056</td>\n",
       "      <td>7594.1445</td>\n",
       "      <td>141.65</td>\n",
       "      <td>13881.7</td>\n",
       "      <td>0.8279</td>\n",
       "      <td>6287.5555</td>\n",
       "      <td>1.5141</td>\n",
       "      <td>0.1841</td>\n",
       "      <td>0.1937</td>\n",
       "      <td>-0.6861</td>\n",
       "      <td>0.7793</td>\n",
       "      <td>0.015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WMT</th>\n",
       "      <td>92.0</td>\n",
       "      <td>-18.0</td>\n",
       "      <td>17.8645</td>\n",
       "      <td>1625.5316</td>\n",
       "      <td>102.015</td>\n",
       "      <td>9385.38</td>\n",
       "      <td>4.7737</td>\n",
       "      <td>7759.8484</td>\n",
       "      <td>2.7895</td>\n",
       "      <td>0.2349</td>\n",
       "      <td>0.1937</td>\n",
       "      <td>1.9842</td>\n",
       "      <td>0.5154</td>\n",
       "      <td>0.0101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Portfolio</th>\n",
       "      <td>2142.0</td>\n",
       "      <td>-532.0</td>\n",
       "      <td>59.8406</td>\n",
       "      <td>128710.4803</td>\n",
       "      <td>432.7735</td>\n",
       "      <td>927000.7364</td>\n",
       "      <td>6.2022</td>\n",
       "      <td>798290.2561</td>\n",
       "      <td>2.3524</td>\n",
       "      <td>0.4258</td>\n",
       "      <td>0.1937</td>\n",
       "      <td>3.8499</td>\n",
       "      <td>1.2952</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Volume  Costs    Price    Invested  Latest Price  Latest Value  \\\n",
       "Identifier                                                                   \n",
       "AAPL         137.0  -28.0  38.9692   5310.7824         236.0       32332.0   \n",
       "ALGN          81.0  -34.0 117.3645   9472.5274        139.07      11264.67   \n",
       "AMD           78.0  -30.0  11.9075    898.7835        153.06      11938.68   \n",
       "AMZN         116.0  -28.0  41.5471   4791.4596      235.1786    27280.7176   \n",
       "ASML         129.0  -25.0  33.3184   4273.0691        794.83     102533.07   \n",
       "AVGO          66.0  -24.0  21.2611   1379.2318        340.04      22442.64   \n",
       "BAC           80.0  -30.0  20.0851   1576.8066         50.18        4014.4   \n",
       "BLDR          48.0  -18.0  32.1805   1526.6658       140.865       6761.52   \n",
       "CAMT          42.0  -19.0  10.0213     401.896         81.88       3438.96   \n",
       "CWST          63.0   -8.0  20.1348   1260.4926       92.1943     5808.2409   \n",
       "EMXC          16.0  -11.0  50.3017    793.8273       64.9701     1039.5216   \n",
       "FICO         116.0  -21.0  36.5914   4223.5986        1535.5      178118.0   \n",
       "FIX          122.0  -20.0    14.12   1702.6347        703.23      85794.06   \n",
       "GOOGL        146.0  -29.0  29.1726   4230.1999      235.7073    34413.2658   \n",
       "KHC            9.0   -8.0  39.6994    349.2948        26.875       241.875   \n",
       "MCHI          54.0  -12.0  47.3192   2543.2341        62.995       3401.73   \n",
       "META          15.0   -1.0 319.7164   4794.7457        760.71      11410.65   \n",
       "MPWR         116.0  -27.0 255.8807  29655.1564        849.14      98500.24   \n",
       "MSFT         105.0  -11.0  40.6437    4256.592        499.32       52428.6   \n",
       "NFLX         114.0  -32.0 125.4435  14268.5564        1248.8      142363.2   \n",
       "NVDA          69.0  -27.0   2.0551    114.8003        167.19      11536.11   \n",
       "OXY           27.0  -15.0  39.7355   1057.8579       45.9665     1241.0955   \n",
       "SKY          126.0  -23.0  18.0884   2256.1393         76.05        9582.3   \n",
       "VOO           77.0  -12.0 238.4994  18352.4523        595.43      45848.11   \n",
       "VSS           98.0  -21.0  77.7056   7594.1445        141.65       13881.7   \n",
       "WMT           92.0  -18.0  17.8645   1625.5316       102.015       9385.38   \n",
       "Portfolio   2142.0 -532.0  59.8406 128710.4803      432.7735   927000.7364   \n",
       "\n",
       "            Return  Return Value  Benchmark Return  Volatility  \\\n",
       "Identifier                                                       \n",
       "AAPL         5.088    27021.2176            2.5141      0.3858   \n",
       "ALGN        0.1892     1792.1426             2.422      0.6001   \n",
       "AMD        12.2832    11039.8965            4.2229      0.6159   \n",
       "AMZN        4.6936     22489.258            2.0801      0.4889   \n",
       "ASML       22.9952    98260.0009            4.2295       0.454   \n",
       "AVGO       15.2718    21063.4082             1.599      0.3762   \n",
       "BAC         1.5459     2437.5934             2.123       0.435   \n",
       "BLDR        3.4289     5234.8542             1.573      0.6715   \n",
       "CAMT        7.5568      3037.064            2.3666       0.681   \n",
       "CWST        3.6079     4547.7483            2.2271      0.5413   \n",
       "EMXC        0.3095      245.6943            0.9904      0.1953   \n",
       "FICO       41.1721   173894.4014            3.7597      0.3746   \n",
       "FIX         49.389    84091.4253            3.1487      0.4588   \n",
       "GOOGL       7.1351    30183.0659              2.54      0.3064   \n",
       "KHC        -0.3075     -107.4198            1.3738      0.2715   \n",
       "MCHI        0.3376      858.4959            0.7128      0.2683   \n",
       "META        1.3798     6615.9043            0.6432      0.3985   \n",
       "MPWR        2.3215    68845.0836            1.3093      0.4731   \n",
       "MSFT        11.317     48172.008            3.3206      0.3016   \n",
       "NFLX        8.9774   128094.6436            2.7065      0.5493   \n",
       "NVDA       99.4885    11421.3097            3.2187      0.5921   \n",
       "OXY         0.1732      183.2376            3.5958      0.4032   \n",
       "SKY         3.2472     7326.1607            3.9006      0.5366   \n",
       "VOO         1.4982    27495.6577            1.3072      0.1714   \n",
       "VSS         0.8279     6287.5555            1.5141      0.1841   \n",
       "WMT         4.7737     7759.8484            2.7895      0.2349   \n",
       "Portfolio   6.2022   798290.2561            2.3524      0.4258   \n",
       "\n",
       "            Benchmark Volatility   Alpha   Beta  Weight  \n",
       "Identifier                                               \n",
       "AAPL                      0.1937  2.5739 1.2235  0.0349  \n",
       "ALGN                      0.1937 -2.2328  1.525  0.0122  \n",
       "AMD                       0.1937  8.0602  1.687  0.0129  \n",
       "AMZN                      0.1937  2.6135 1.1765  0.0294  \n",
       "ASML                      0.1937 18.7657 1.4364  0.1106  \n",
       "AVGO                      0.1937 13.6728 1.4078  0.0242  \n",
       "BAC                       0.1937 -0.5771  1.174  0.0043  \n",
       "BLDR                      0.1937   1.856 1.4651  0.0073  \n",
       "CAMT                      0.1937  5.1902 1.4031  0.0037  \n",
       "CWST                      0.1937  1.3808 0.7804  0.0063  \n",
       "EMXC                      0.1937 -0.6808 0.7644  0.0011  \n",
       "FICO                      0.1937 37.4124 1.2709  0.1921  \n",
       "FIX                       0.1937 46.2403 1.2731  0.0926  \n",
       "GOOGL                     0.1937  4.5951 1.1525  0.0371  \n",
       "KHC                       0.1937 -1.6814 0.5935  0.0003  \n",
       "MCHI                      0.1937 -0.3752 0.7654  0.0037  \n",
       "META                      0.1937  0.7366 1.3194  0.0123  \n",
       "MPWR                      0.1937  1.0122 1.7913  0.1063  \n",
       "MSFT                      0.1937  7.9965 1.1838  0.0566  \n",
       "NFLX                      0.1937  6.2709 1.1174  0.1536  \n",
       "NVDA                      0.1937 96.2698 1.8234  0.0124  \n",
       "OXY                       0.1937 -3.4226 1.2512  0.0013  \n",
       "SKY                       0.1937 -0.6534 1.4196  0.0103  \n",
       "VOO                       0.1937   0.191 0.9943  0.0495  \n",
       "VSS                       0.1937 -0.6861 0.7793   0.015  \n",
       "WMT                       0.1937  1.9842 0.5154  0.0101  \n",
       "Portfolio                 0.1937  3.8499 1.2952     1.0  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "portfolio.get_portfolio_overview(include_portfolio=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e61697f7",
   "metadata": {},
   "source": [
    "The above overview demonstrates how each of your assets has performed and is an aggregation of all your transactions. The same transactions have occurred against the benchmark, which is the S&P 500 in this case. The benchmark is used to compare the performance of your portfolio against a broad market index which gives an indication whether your decisions have been fruitful. At the bottom you can find the `Portfolio` value which shows the performance of your portfolio itself, weighted by the assets in the portfolio."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "542b5faf-efa7-48f0-8c00-a89ddb720f87",
   "metadata": {},
   "source": [
    "The same overview can also be obtained for each transaction with `get_transactions_overview` which also demonstrates the Profit and Loss (PnL) of your transactions. This can be useful to see which transactions have been profitable and which have not. Here, you have the option to define the PnL method which can be either FIFO (First In First Out), LIFO (Last In First Out) or Average (Average Cost). By default, FIFO is used."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "aba7ce26-d35f-4bc3-8a69-52eda991d653",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Price</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Costs</th>\n",
       "      <th>Currency</th>\n",
       "      <th>Invested Amount</th>\n",
       "      <th>Current Value</th>\n",
       "      <th>% Return</th>\n",
       "      <th>Return</th>\n",
       "      <th>PnL</th>\n",
       "      <th>Cumulative PnL</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th>Identifier</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2000-01-07</th>\n",
       "      <th>ASML</th>\n",
       "      <td>ASML</td>\n",
       "      <td>30.8212</td>\n",
       "      <td>9.0</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>274.3908</td>\n",
       "      <td>7153.47</td>\n",
       "      <td>25.0704</td>\n",
       "      <td>6879.0792</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-01-10</th>\n",
       "      <th>SKY</th>\n",
       "      <td>SKY</td>\n",
       "      <td>15.2328</td>\n",
       "      <td>12.0</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>180.7941</td>\n",
       "      <td>912.6</td>\n",
       "      <td>4.0477</td>\n",
       "      <td>731.8059</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-01-28</th>\n",
       "      <th>AMZN</th>\n",
       "      <td>AMZN</td>\n",
       "      <td>3.0558</td>\n",
       "      <td>8.0</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>21.4462</td>\n",
       "      <td>1881.4288</td>\n",
       "      <td>86.7279</td>\n",
       "      <td>1859.9826</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-02-23</th>\n",
       "      <th>FIX</th>\n",
       "      <td>FIX</td>\n",
       "      <td>6.9855</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>55.8839</td>\n",
       "      <td>5625.84</td>\n",
       "      <td>99.6702</td>\n",
       "      <td>5569.9561</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-02-28</th>\n",
       "      <th>MSFT</th>\n",
       "      <td>MSFT</td>\n",
       "      <td>28.354</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>368.6021</td>\n",
       "      <td>6491.16</td>\n",
       "      <td>16.6102</td>\n",
       "      <td>6122.5579</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-06-11</th>\n",
       "      <th>META</th>\n",
       "      <td>META</td>\n",
       "      <td>505.5737</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>4044.5892</td>\n",
       "      <td>6085.68</td>\n",
       "      <td>0.5046</td>\n",
       "      <td>2041.0908</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4737.6975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-06-18</th>\n",
       "      <th>MPWR</th>\n",
       "      <td>MPWR</td>\n",
       "      <td>847.6002</td>\n",
       "      <td>14.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>11865.4026</td>\n",
       "      <td>11887.96</td>\n",
       "      <td>0.0019</td>\n",
       "      <td>22.5574</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4737.6975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-07-30</th>\n",
       "      <th>AMD</th>\n",
       "      <td>AMD</td>\n",
       "      <td>139.5702</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>418.7105</td>\n",
       "      <td>459.18</td>\n",
       "      <td>0.0967</td>\n",
       "      <td>40.4695</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5092.2821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-25</th>\n",
       "      <th>MCHI</th>\n",
       "      <td>MCHI</td>\n",
       "      <td>48.8436</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>293.0617</td>\n",
       "      <td>377.97</td>\n",
       "      <td>0.2897</td>\n",
       "      <td>84.9083</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5703.2771</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-11-13</th>\n",
       "      <th>VOO</th>\n",
       "      <td>VOO</td>\n",
       "      <td>552.1364</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>USD</td>\n",
       "      <td>6073.5001</td>\n",
       "      <td>6549.73</td>\n",
       "      <td>0.0784</td>\n",
       "      <td>476.2299</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5745.3004</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>300 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                       Name    Price  Volume  Costs Currency  Invested Amount  \\\n",
       "Date       Identifier                                                           \n",
       "2000-01-07 ASML        ASML  30.8212     9.0   -3.0      USD         274.3908   \n",
       "2000-01-10 SKY          SKY  15.2328    12.0   -2.0      USD         180.7941   \n",
       "2000-01-28 AMZN        AMZN   3.0558     8.0   -3.0      USD          21.4462   \n",
       "2000-02-23 FIX          FIX   6.9855     8.0    0.0      USD          55.8839   \n",
       "2000-02-28 MSFT        MSFT   28.354    13.0    0.0      USD         368.6021   \n",
       "...                     ...      ...     ...    ...      ...              ...   \n",
       "2024-06-11 META        META 505.5737     8.0    0.0      USD        4044.5892   \n",
       "2024-06-18 MPWR        MPWR 847.6002    14.0   -1.0      USD       11865.4026   \n",
       "2024-07-30 AMD          AMD 139.5702     3.0    0.0      USD         418.7105   \n",
       "2024-10-25 MCHI        MCHI  48.8436     6.0    0.0      USD         293.0617   \n",
       "2024-11-13 VOO          VOO 552.1364    11.0    0.0      USD        6073.5001   \n",
       "\n",
       "                       Current Value  % Return    Return  PnL  Cumulative PnL  \n",
       "Date       Identifier                                                          \n",
       "2000-01-07 ASML              7153.47   25.0704 6879.0792  0.0             0.0  \n",
       "2000-01-10 SKY                 912.6    4.0477  731.8059  0.0             0.0  \n",
       "2000-01-28 AMZN            1881.4288   86.7279 1859.9826  0.0             0.0  \n",
       "2000-02-23 FIX               5625.84   99.6702 5569.9561  0.0             0.0  \n",
       "2000-02-28 MSFT              6491.16   16.6102 6122.5579  0.0             0.0  \n",
       "...                              ...       ...       ...  ...             ...  \n",
       "2024-06-11 META              6085.68    0.5046 2041.0908  0.0       4737.6975  \n",
       "2024-06-18 MPWR             11887.96    0.0019   22.5574  0.0       4737.6975  \n",
       "2024-07-30 AMD                459.18    0.0967   40.4695  0.0       5092.2821  \n",
       "2024-10-25 MCHI               377.97    0.2897   84.9083  0.0       5703.2771  \n",
       "2024-11-13 VOO               6549.73    0.0784  476.2299  0.0       5745.3004  \n",
       "\n",
       "[300 rows x 11 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "portfolio.get_transactions_overview(pnl_method=\"FIFO\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "61379421",
   "metadata": {},
   "source": [
    "For both the portfolio and the transactions overviews, you can also see the performance per period. This can be `yearly`, `quarterly`, `monthly`, `weekly` or `daily`. This gives you deeper insights on the performance of your portfolio and your transactions in a specified period."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6df518d0",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Volume</th>\n",
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       "      <th rowspan=\"5\" valign=\"top\">2000</th>\n",
       "      <th>AAPL</th>\n",
       "      <td>5.0</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>2.1366</td>\n",
       "      <td>1.328</td>\n",
       "      <td>0.0008</td>\n",
       "      <td>0.0006</td>\n",
       "      <td>-0.3785</td>\n",
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       "      <th>AMD</th>\n",
       "      <td>15.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>534.7492</td>\n",
       "      <td>207.1875</td>\n",
       "      <td>0.2109</td>\n",
       "      <td>0.0859</td>\n",
       "      <td>-0.6126</td>\n",
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       "    <tr>\n",
       "      <th>AMZN</th>\n",
       "      <td>8.0</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>21.4462</td>\n",
       "      <td>6.2248</td>\n",
       "      <td>0.0085</td>\n",
       "      <td>0.0026</td>\n",
       "      <td>-0.7097</td>\n",
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       "    <tr>\n",
       "      <th>ASML</th>\n",
       "      <td>9.0</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>274.3908</td>\n",
       "      <td>296.64</td>\n",
       "      <td>0.1082</td>\n",
       "      <td>0.123</td>\n",
       "      <td>0.0811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BAC</th>\n",
       "      <td>17.0</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>185.8266</td>\n",
       "      <td>389.98</td>\n",
       "      <td>0.0733</td>\n",
       "      <td>0.1617</td>\n",
       "      <td>1.0986</td>\n",
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       "      <th>...</th>\n",
       "      <th>...</th>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">2025</th>\n",
       "      <th>OXY</th>\n",
       "      <td>38.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>1424.4454</td>\n",
       "      <td>1746.727</td>\n",
       "      <td>0.0103</td>\n",
       "      <td>0.0017</td>\n",
       "      <td>0.2263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SKY</th>\n",
       "      <td>136.0</td>\n",
       "      <td>-19.0</td>\n",
       "      <td>2455.752</td>\n",
       "      <td>10342.8</td>\n",
       "      <td>0.0177</td>\n",
       "      <td>0.0102</td>\n",
       "      <td>3.2117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VOO</th>\n",
       "      <td>79.0</td>\n",
       "      <td>-12.0</td>\n",
       "      <td>18660.827</td>\n",
       "      <td>47038.97</td>\n",
       "      <td>0.1347</td>\n",
       "      <td>0.0463</td>\n",
       "      <td>1.5207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VSS</th>\n",
       "      <td>109.0</td>\n",
       "      <td>-19.0</td>\n",
       "      <td>8393.9862</td>\n",
       "      <td>15439.85</td>\n",
       "      <td>0.0606</td>\n",
       "      <td>0.0152</td>\n",
       "      <td>0.8394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WMT</th>\n",
       "      <td>101.0</td>\n",
       "      <td>-14.0</td>\n",
       "      <td>1747.6345</td>\n",
       "      <td>10303.515</td>\n",
       "      <td>0.0126</td>\n",
       "      <td>0.0102</td>\n",
       "      <td>4.8957</td>\n",
       "    </tr>\n",
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       "</table>\n",
       "<p>563 rows × 7 columns</p>\n",
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      ],
      "text/plain": [
       "                 Volume  Costs  Invested Amount  Current Value  \\\n",
       "Date Identifier                                                  \n",
       "2000 AAPL           5.0   -2.0           2.1366          1.328   \n",
       "     AMD           15.0   -4.0         534.7492       207.1875   \n",
       "     AMZN           8.0   -3.0          21.4462         6.2248   \n",
       "     ASML           9.0   -3.0         274.3908         296.64   \n",
       "     BAC           17.0   -3.0         185.8266         389.98   \n",
       "...                 ...    ...              ...            ...   \n",
       "2025 OXY           38.0   -4.0        1424.4454       1746.727   \n",
       "     SKY          136.0  -19.0         2455.752        10342.8   \n",
       "     VOO           79.0  -12.0        18660.827       47038.97   \n",
       "     VSS          109.0  -19.0        8393.9862       15439.85   \n",
       "     WMT          101.0  -14.0        1747.6345      10303.515   \n",
       "\n",
       "                 Invested Weight  Current Weight  Return  \n",
       "Date Identifier                                           \n",
       "2000 AAPL                 0.0008          0.0006 -0.3785  \n",
       "     AMD                  0.2109          0.0859 -0.6126  \n",
       "     AMZN                 0.0085          0.0026 -0.7097  \n",
       "     ASML                 0.1082           0.123  0.0811  \n",
       "     BAC                  0.0733          0.1617  1.0986  \n",
       "...                          ...             ...     ...  \n",
       "2025 OXY                  0.0103          0.0017  0.2263  \n",
       "     SKY                  0.0177          0.0102  3.2117  \n",
       "     VOO                  0.1347          0.0463  1.5207  \n",
       "     VSS                  0.0606          0.0152  0.8394  \n",
       "     WMT                  0.0126          0.0102  4.8957  \n",
       "\n",
       "[563 rows x 7 columns]"
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       "      <th rowspan=\"5\" valign=\"top\">2000Q1</th>\n",
       "      <th>AMZN</th>\n",
       "      <td>8.0</td>\n",
       "      <td>3.0558</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>27.4462</td>\n",
       "      <td>26.8</td>\n",
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       "      <th>ASML</th>\n",
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       "      <td>280.3908</td>\n",
       "      <td>489.78</td>\n",
       "      <td>0.7468</td>\n",
       "      <td>0.0396</td>\n",
       "      <td>0.7072</td>\n",
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       "      <th>FIX</th>\n",
       "      <td>17.0</td>\n",
       "      <td>6.0618</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>104.0506</td>\n",
       "      <td>108.46</td>\n",
       "      <td>0.0424</td>\n",
       "      <td>0.0482</td>\n",
       "      <td>-0.0058</td>\n",
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       "    <tr>\n",
       "      <th>MSFT</th>\n",
       "      <td>13.0</td>\n",
       "      <td>28.354</td>\n",
       "      <td>0.0</td>\n",
       "      <td>368.6021</td>\n",
       "      <td>690.69</td>\n",
       "      <td>0.8738</td>\n",
       "      <td>0.1117</td>\n",
       "      <td>0.7621</td>\n",
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       "      <th>SKY</th>\n",
       "      <td>12.0</td>\n",
       "      <td>15.2328</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>184.7941</td>\n",
       "      <td>260.25</td>\n",
       "      <td>0.4083</td>\n",
       "      <td>0.0281</td>\n",
       "      <td>0.3802</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">2024Q2</th>\n",
       "      <th>CAMT</th>\n",
       "      <td>4.0</td>\n",
       "      <td>94.4243</td>\n",
       "      <td>0.0</td>\n",
       "      <td>377.697</td>\n",
       "      <td>500.96</td>\n",
       "      <td>0.3264</td>\n",
       "      <td>0.0407</td>\n",
       "      <td>0.2856</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>META</th>\n",
       "      <td>8.0</td>\n",
       "      <td>505.5737</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4044.5892</td>\n",
       "      <td>4033.76</td>\n",
       "      <td>-0.0027</td>\n",
       "      <td>0.0158</td>\n",
       "      <td>-0.0185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MPWR</th>\n",
       "      <td>14.0</td>\n",
       "      <td>847.6002</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>11867.4026</td>\n",
       "      <td>11503.52</td>\n",
       "      <td>-0.0307</td>\n",
       "      <td>-0.0048</td>\n",
       "      <td>-0.0258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2024Q4</th>\n",
       "      <th>MCHI</th>\n",
       "      <td>6.0</td>\n",
       "      <td>48.8436</td>\n",
       "      <td>0.0</td>\n",
       "      <td>293.0617</td>\n",
       "      <td>281.16</td>\n",
       "      <td>-0.0406</td>\n",
       "      <td>0.0127</td>\n",
       "      <td>-0.0533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VOO</th>\n",
       "      <td>11.0</td>\n",
       "      <td>552.1364</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6073.5001</td>\n",
       "      <td>5926.91</td>\n",
       "      <td>-0.0241</td>\n",
       "      <td>-0.0173</td>\n",
       "      <td>-0.0068</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>275 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Volume    Price  Costs  Invested Amount  Current Value  \\\n",
       "Date   Identifier                                                           \n",
       "2000Q1 AMZN           8.0   3.0558   -3.0          27.4462           26.8   \n",
       "       ASML           9.0  30.8212   -3.0         280.3908         489.78   \n",
       "       FIX           17.0   6.0618   -1.0         104.0506         108.46   \n",
       "       MSFT          13.0   28.354    0.0         368.6021         690.69   \n",
       "       SKY           12.0  15.2328   -2.0         184.7941         260.25   \n",
       "...                   ...      ...    ...              ...            ...   \n",
       "2024Q2 CAMT           4.0  94.4243    0.0          377.697         500.96   \n",
       "       META           8.0 505.5737    0.0        4044.5892        4033.76   \n",
       "       MPWR          14.0 847.6002   -1.0       11867.4026       11503.52   \n",
       "2024Q4 MCHI           6.0  48.8436    0.0         293.0617         281.16   \n",
       "       VOO           11.0 552.1364    0.0        6073.5001        5926.91   \n",
       "\n",
       "                   Return  Benchmark Return   Alpha  \n",
       "Date   Identifier                                    \n",
       "2000Q1 AMZN       -0.0235            0.1018 -0.1253  \n",
       "       ASML        0.7468            0.0396  0.7072  \n",
       "       FIX         0.0424            0.0482 -0.0058  \n",
       "       MSFT        0.8738            0.1117  0.7621  \n",
       "       SKY         0.4083            0.0281  0.3802  \n",
       "...                   ...               ...     ...  \n",
       "2024Q2 CAMT        0.3264            0.0407  0.2856  \n",
       "       META       -0.0027            0.0158 -0.0185  \n",
       "       MPWR       -0.0307           -0.0048 -0.0258  \n",
       "2024Q4 MCHI       -0.0406            0.0127 -0.0533  \n",
       "       VOO        -0.0241           -0.0173 -0.0068  \n",
       "\n",
       "[275 rows x 8 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(portfolio.get_portfolio_performance(period=\"yearly\"))\n",
    "\n",
    "display(portfolio.get_transactions_performance(period=\"quarterly\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f441c4a6",
   "metadata": {},
   "source": [
    "Ultimately, what makes this module powerful is the ability to directly connect to the Toolkit functionalities. This means that you can calculate any of the 150+ metrics for the assets in your portfolio and your actual portfolio (weighted average over time). This can be done as follows where it is important you assign the toolkit to a new variable to prevent constant API calls."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "70ffb458",
   "metadata": {},
   "outputs": [],
   "source": [
    "toolkit = portfolio.toolkit"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "59d7aa3d",
   "metadata": {},
   "source": [
    "Then, it is possible to calculate anything but let's start with acquiring the Net Profit Margin ratio for the assets in the portfolio. It is important to note that the example portfolio contains ETFs as well meaning not for all tickers the ratios can be calculated."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "94f81743",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Obtaining financial statements:   0%|          | 0/3 [00:00<?, ?it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2025-09-09 16:46:45 - financetoolkit - ERROR - The rate limit from Yahoo Finance has been reached or no data could be found from this source for the following tickers: VSS, MCHI, VOO, EMXC.\n",
      "This occurred after a previous attempt to use FinancialModelingPrep was unsuccessful and is likely due to no data being available for the tickers.\n",
      "2025-09-09 16:46:45 - financetoolkit - INFO - No balance data found for the following tickers: VSS, MCHI, VOO, EMXC\n",
      "2025-09-09 16:46:51 - financetoolkit - WARNING - The following tickers could not be verified whether the currency of the historical data matches with the financial statement data: ASML\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Obtaining financial statements:  33%|███▎      | 1/3 [00:09<00:19,  9.62s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2025-09-09 16:46:55 - financetoolkit - ERROR - The rate limit from Yahoo Finance has been reached or no data could be found from this source for the following tickers: VSS, MCHI, VOO, EMXC.\n",
      "This occurred after a previous attempt to use FinancialModelingPrep was unsuccessful and is likely due to no data being available for the tickers.\n",
      "2025-09-09 16:46:55 - financetoolkit - INFO - No income data found for the following tickers: VSS, MCHI, VOO, EMXC\n",
      "2025-09-09 16:46:55 - financetoolkit - WARNING - The following tickers could not be verified whether the currency of the historical data matches with the financial statement data: ASML\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Obtaining financial statements:  67%|██████▋   | 2/3 [00:13<00:06,  6.10s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2025-09-09 16:46:59 - financetoolkit - ERROR - The rate limit from Yahoo Finance has been reached or no data could be found from this source for the following tickers: MCHI, VSS, VOO, EMXC.\n",
      "This occurred after a previous attempt to use FinancialModelingPrep was unsuccessful and is likely due to no data being available for the tickers.\n",
      "2025-09-09 16:46:59 - financetoolkit - INFO - No cashflow data found for the following tickers: MCHI, VSS, VOO, EMXC\n",
      "2025-09-09 16:46:59 - financetoolkit - WARNING - The following tickers could not be verified whether the currency of the historical data matches with the financial statement data: ASML\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Obtaining financial statements: 100%|██████████| 3/3 [00:17<00:00,  5.71s/it]\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2000</th>\n",
       "      <th>2001</th>\n",
       "      <th>2002</th>\n",
       "      <th>2003</th>\n",
       "      <th>2004</th>\n",
       "      <th>2005</th>\n",
       "      <th>2006</th>\n",
       "      <th>2007</th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>...</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "      <th>2020</th>\n",
       "      <th>2021</th>\n",
       "      <th>2022</th>\n",
       "      <th>2023</th>\n",
       "      <th>2024</th>\n",
       "      <th>2025</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AAPL</th>\n",
       "      <td>0.0985</td>\n",
       "      <td>-0.0047</td>\n",
       "      <td>0.0113</td>\n",
       "      <td>0.0111</td>\n",
       "      <td>0.0321</td>\n",
       "      <td>0.0953</td>\n",
       "      <td>0.103</td>\n",
       "      <td>0.1456</td>\n",
       "      <td>0.1488</td>\n",
       "      <td>0.1919</td>\n",
       "      <td>...</td>\n",
       "      <td>0.2119</td>\n",
       "      <td>0.2109</td>\n",
       "      <td>0.2241</td>\n",
       "      <td>0.2124</td>\n",
       "      <td>0.2091</td>\n",
       "      <td>0.2588</td>\n",
       "      <td>0.2531</td>\n",
       "      <td>0.2531</td>\n",
       "      <td>0.2397</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ALGN</th>\n",
       "      <td>-21.1043</td>\n",
       "      <td>-2.4603</td>\n",
       "      <td>-1.0448</td>\n",
       "      <td>-0.164</td>\n",
       "      <td>0.0507</td>\n",
       "      <td>0.0068</td>\n",
       "      <td>-0.1694</td>\n",
       "      <td>0.1256</td>\n",
       "      <td>0.2631</td>\n",
       "      <td>-0.1001</td>\n",
       "      <td>...</td>\n",
       "      <td>0.1757</td>\n",
       "      <td>0.1571</td>\n",
       "      <td>0.2035</td>\n",
       "      <td>0.184</td>\n",
       "      <td>0.7184</td>\n",
       "      <td>0.1953</td>\n",
       "      <td>0.0968</td>\n",
       "      <td>0.1152</td>\n",
       "      <td>0.1054</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AMD</th>\n",
       "      <td>0.2117</td>\n",
       "      <td>-0.0156</td>\n",
       "      <td>-0.4831</td>\n",
       "      <td>-0.078</td>\n",
       "      <td>0.0182</td>\n",
       "      <td>0.0283</td>\n",
       "      <td>-0.0294</td>\n",
       "      <td>-0.5619</td>\n",
       "      <td>-0.5387</td>\n",
       "      <td>0.0563</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.1166</td>\n",
       "      <td>-0.0063</td>\n",
       "      <td>0.052</td>\n",
       "      <td>0.0507</td>\n",
       "      <td>0.2551</td>\n",
       "      <td>0.1924</td>\n",
       "      <td>0.0559</td>\n",
       "      <td>0.0377</td>\n",
       "      <td>0.0636</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AMZN</th>\n",
       "      <td>-0.511</td>\n",
       "      <td>-0.1817</td>\n",
       "      <td>-0.0379</td>\n",
       "      <td>0.0066</td>\n",
       "      <td>0.085</td>\n",
       "      <td>0.0423</td>\n",
       "      <td>0.0177</td>\n",
       "      <td>0.0321</td>\n",
       "      <td>0.0337</td>\n",
       "      <td>0.0368</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0174</td>\n",
       "      <td>0.0171</td>\n",
       "      <td>0.0433</td>\n",
       "      <td>0.0413</td>\n",
       "      <td>0.0553</td>\n",
       "      <td>0.071</td>\n",
       "      <td>-0.0053</td>\n",
       "      <td>0.0529</td>\n",
       "      <td>0.0929</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ASML</th>\n",
       "      <td>0.1599</td>\n",
       "      <td>-0.2597</td>\n",
       "      <td>-0.1061</td>\n",
       "      <td>-0.1039</td>\n",
       "      <td>0.0955</td>\n",
       "      <td>0.1232</td>\n",
       "      <td>0.1727</td>\n",
       "      <td>0.1781</td>\n",
       "      <td>0.1091</td>\n",
       "      <td>-0.0946</td>\n",
       "      <td>...</td>\n",
       "      <td>0.2266</td>\n",
       "      <td>0.2306</td>\n",
       "      <td>0.2368</td>\n",
       "      <td>0.2193</td>\n",
       "      <td>0.2542</td>\n",
       "      <td>0.3161</td>\n",
       "      <td>0.2656</td>\n",
       "      <td>0.2844</td>\n",
       "      <td>0.2679</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AVGO</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.1659</td>\n",
       "      <td>-0.1041</td>\n",
       "      <td>0.0489</td>\n",
       "      <td>-0.0296</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.1345</td>\n",
       "      <td>0.0959</td>\n",
       "      <td>0.588</td>\n",
       "      <td>0.1193</td>\n",
       "      <td>0.1115</td>\n",
       "      <td>0.2345</td>\n",
       "      <td>0.338</td>\n",
       "      <td>0.3931</td>\n",
       "      <td>0.1143</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BAC</th>\n",
       "      <td>0.13</td>\n",
       "      <td>0.1278</td>\n",
       "      <td>0.1994</td>\n",
       "      <td>0.2205</td>\n",
       "      <td>0.2155</td>\n",
       "      <td>0.1985</td>\n",
       "      <td>0.1859</td>\n",
       "      <td>0.1271</td>\n",
       "      <td>0.0221</td>\n",
       "      <td>-0.0157</td>\n",
       "      <td>...</td>\n",
       "      <td>0.1723</td>\n",
       "      <td>0.1671</td>\n",
       "      <td>0.2435</td>\n",
       "      <td>0.2289</td>\n",
       "      <td>0.1757</td>\n",
       "      <td>0.3256</td>\n",
       "      <td>0.2261</td>\n",
       "      <td>0.1446</td>\n",
       "      <td>0.1325</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BLDR</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.001</td>\n",
       "      <td>-0.0064</td>\n",
       "      <td>0.0105</td>\n",
       "      <td>0.0251</td>\n",
       "      <td>0.0208</td>\n",
       "      <td>0.0308</td>\n",
       "      <td>-0.0149</td>\n",
       "      <td>-0.1348</td>\n",
       "      <td>-0.0912</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0227</td>\n",
       "      <td>0.0055</td>\n",
       "      <td>0.0266</td>\n",
       "      <td>0.0305</td>\n",
       "      <td>0.0366</td>\n",
       "      <td>0.0867</td>\n",
       "      <td>0.121</td>\n",
       "      <td>0.0901</td>\n",
       "      <td>0.0657</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CAMT</th>\n",
       "      <td>0.205</td>\n",
       "      <td>-0.0842</td>\n",
       "      <td>-0.4998</td>\n",
       "      <td>-0.0504</td>\n",
       "      <td>0.1601</td>\n",
       "      <td>0.0429</td>\n",
       "      <td>0.116</td>\n",
       "      <td>-0.1084</td>\n",
       "      <td>-0.1266</td>\n",
       "      <td>-0.2213</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0432</td>\n",
       "      <td>0.1494</td>\n",
       "      <td>0.1521</td>\n",
       "      <td>0.1554</td>\n",
       "      <td>0.1397</td>\n",
       "      <td>0.2239</td>\n",
       "      <td>0.2525</td>\n",
       "      <td>0.2528</td>\n",
       "      <td>0.2787</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CWST</th>\n",
       "      <td>-0.3068</td>\n",
       "      <td>0.0093</td>\n",
       "      <td>-0.1495</td>\n",
       "      <td>0.0116</td>\n",
       "      <td>0.0091</td>\n",
       "      <td>0.0159</td>\n",
       "      <td>-0.0408</td>\n",
       "      <td>-0.0143</td>\n",
       "      <td>-0.1174</td>\n",
       "      <td>-0.025</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.0121</td>\n",
       "      <td>-0.0364</td>\n",
       "      <td>0.0097</td>\n",
       "      <td>0.0426</td>\n",
       "      <td>0.1176</td>\n",
       "      <td>0.0462</td>\n",
       "      <td>0.0489</td>\n",
       "      <td>0.0201</td>\n",
       "      <td>0.0087</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FICO</th>\n",
       "      <td>0.0927</td>\n",
       "      <td>0.1401</td>\n",
       "      <td>0.0456</td>\n",
       "      <td>0.1703</td>\n",
       "      <td>0.1455</td>\n",
       "      <td>0.1685</td>\n",
       "      <td>0.1254</td>\n",
       "      <td>0.1273</td>\n",
       "      <td>0.1127</td>\n",
       "      <td>0.1032</td>\n",
       "      <td>...</td>\n",
       "      <td>0.1242</td>\n",
       "      <td>0.1431</td>\n",
       "      <td>0.1225</td>\n",
       "      <td>0.1656</td>\n",
       "      <td>0.1826</td>\n",
       "      <td>0.2978</td>\n",
       "      <td>0.2712</td>\n",
       "      <td>0.2837</td>\n",
       "      <td>0.2986</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FIX</th>\n",
       "      <td>-0.0106</td>\n",
       "      <td>0.0085</td>\n",
       "      <td>-0.2552</td>\n",
       "      <td>-0.0071</td>\n",
       "      <td>0.0131</td>\n",
       "      <td>-0.0069</td>\n",
       "      <td>0.0272</td>\n",
       "      <td>0.0293</td>\n",
       "      <td>0.0374</td>\n",
       "      <td>0.0303</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0397</td>\n",
       "      <td>0.0309</td>\n",
       "      <td>0.0517</td>\n",
       "      <td>0.0437</td>\n",
       "      <td>0.0526</td>\n",
       "      <td>0.0466</td>\n",
       "      <td>0.0594</td>\n",
       "      <td>0.0621</td>\n",
       "      <td>0.0743</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GOOGL</th>\n",
       "      <td>-0.7688</td>\n",
       "      <td>0.0808</td>\n",
       "      <td>0.2267</td>\n",
       "      <td>0.0721</td>\n",
       "      <td>0.1251</td>\n",
       "      <td>0.2387</td>\n",
       "      <td>0.2902</td>\n",
       "      <td>0.2533</td>\n",
       "      <td>0.1939</td>\n",
       "      <td>0.2757</td>\n",
       "      <td>...</td>\n",
       "      <td>0.2158</td>\n",
       "      <td>0.1142</td>\n",
       "      <td>0.2246</td>\n",
       "      <td>0.2122</td>\n",
       "      <td>0.2206</td>\n",
       "      <td>0.2951</td>\n",
       "      <td>0.212</td>\n",
       "      <td>0.2401</td>\n",
       "      <td>0.286</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KHC</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.1299</td>\n",
       "      <td>0.4196</td>\n",
       "      <td>-0.388</td>\n",
       "      <td>0.0775</td>\n",
       "      <td>0.0136</td>\n",
       "      <td>0.0389</td>\n",
       "      <td>0.0892</td>\n",
       "      <td>0.1072</td>\n",
       "      <td>0.1062</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>META</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.902</td>\n",
       "      <td>-0.2059</td>\n",
       "      <td>0.157</td>\n",
       "      <td>...</td>\n",
       "      <td>0.3697</td>\n",
       "      <td>0.392</td>\n",
       "      <td>0.396</td>\n",
       "      <td>0.2615</td>\n",
       "      <td>0.339</td>\n",
       "      <td>0.3338</td>\n",
       "      <td>0.199</td>\n",
       "      <td>0.2898</td>\n",
       "      <td>0.3791</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MPWR</th>\n",
       "      <td>-0.3052</td>\n",
       "      <td>-0.4394</td>\n",
       "      <td>-0.3018</td>\n",
       "      <td>-0.1808</td>\n",
       "      <td>-0.1184</td>\n",
       "      <td>0.0515</td>\n",
       "      <td>-0.0273</td>\n",
       "      <td>0.0864</td>\n",
       "      <td>0.1509</td>\n",
       "      <td>0.1192</td>\n",
       "      <td>...</td>\n",
       "      <td>0.1356</td>\n",
       "      <td>0.1385</td>\n",
       "      <td>0.1808</td>\n",
       "      <td>0.1733</td>\n",
       "      <td>0.1947</td>\n",
       "      <td>0.2004</td>\n",
       "      <td>0.2439</td>\n",
       "      <td>0.2347</td>\n",
       "      <td>0.8095</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MSFT</th>\n",
       "      <td>0.4098</td>\n",
       "      <td>0.2904</td>\n",
       "      <td>0.276</td>\n",
       "      <td>0.234</td>\n",
       "      <td>0.2217</td>\n",
       "      <td>0.308</td>\n",
       "      <td>0.2845</td>\n",
       "      <td>0.2751</td>\n",
       "      <td>0.2926</td>\n",
       "      <td>0.2493</td>\n",
       "      <td>...</td>\n",
       "      <td>0.2253</td>\n",
       "      <td>0.2639</td>\n",
       "      <td>0.1502</td>\n",
       "      <td>0.3118</td>\n",
       "      <td>0.3096</td>\n",
       "      <td>0.3645</td>\n",
       "      <td>0.3669</td>\n",
       "      <td>0.3415</td>\n",
       "      <td>0.3596</td>\n",
       "      <td>0.3615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NFLX</th>\n",
       "      <td>-1.6235</td>\n",
       "      <td>-0.5162</td>\n",
       "      <td>-0.1371</td>\n",
       "      <td>0.0239</td>\n",
       "      <td>0.0427</td>\n",
       "      <td>0.0616</td>\n",
       "      <td>0.0492</td>\n",
       "      <td>0.0555</td>\n",
       "      <td>0.0608</td>\n",
       "      <td>0.0694</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0211</td>\n",
       "      <td>0.0478</td>\n",
       "      <td>0.0767</td>\n",
       "      <td>0.0926</td>\n",
       "      <td>0.1105</td>\n",
       "      <td>0.1723</td>\n",
       "      <td>0.1421</td>\n",
       "      <td>0.1604</td>\n",
       "      <td>0.2234</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NVDA</th>\n",
       "      <td>0.1094</td>\n",
       "      <td>0.1339</td>\n",
       "      <td>0.1292</td>\n",
       "      <td>0.0476</td>\n",
       "      <td>0.0408</td>\n",
       "      <td>0.0441</td>\n",
       "      <td>0.1268</td>\n",
       "      <td>0.1463</td>\n",
       "      <td>0.1946</td>\n",
       "      <td>-0.0088</td>\n",
       "      <td>...</td>\n",
       "      <td>0.1226</td>\n",
       "      <td>0.2411</td>\n",
       "      <td>0.3137</td>\n",
       "      <td>0.3534</td>\n",
       "      <td>0.2561</td>\n",
       "      <td>0.2598</td>\n",
       "      <td>0.3623</td>\n",
       "      <td>0.1619</td>\n",
       "      <td>0.4885</td>\n",
       "      <td>0.5585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OXY</th>\n",
       "      <td>0.1157</td>\n",
       "      <td>0.0825</td>\n",
       "      <td>0.1348</td>\n",
       "      <td>0.1637</td>\n",
       "      <td>0.2251</td>\n",
       "      <td>0.3618</td>\n",
       "      <td>0.244</td>\n",
       "      <td>0.2865</td>\n",
       "      <td>0.2822</td>\n",
       "      <td>0.1896</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.0569</td>\n",
       "      <td>0.1047</td>\n",
       "      <td>0.2642</td>\n",
       "      <td>-0.0513</td>\n",
       "      <td>-0.9146</td>\n",
       "      <td>0.0582</td>\n",
       "      <td>0.3428</td>\n",
       "      <td>0.1324</td>\n",
       "      <td>0.0872</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SKY</th>\n",
       "      <td>0.0109</td>\n",
       "      <td>0.0138</td>\n",
       "      <td>0.0004</td>\n",
       "      <td>0.0002</td>\n",
       "      <td>-0.0198</td>\n",
       "      <td>0.0281</td>\n",
       "      <td>-0.2656</td>\n",
       "      <td>-0.0384</td>\n",
       "      <td>-0.0926</td>\n",
       "      <td>-0.2128</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0148</td>\n",
       "      <td>-0.0428</td>\n",
       "      <td>0.0423</td>\n",
       "      <td>0.0597</td>\n",
       "      <td>0.1124</td>\n",
       "      <td>0.1542</td>\n",
       "      <td>0.0724</td>\n",
       "      <td>0.0799</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WMT</th>\n",
       "      <td>0.0322</td>\n",
       "      <td>0.0326</td>\n",
       "      <td>0.032</td>\n",
       "      <td>0.0323</td>\n",
       "      <td>0.035</td>\n",
       "      <td>0.0357</td>\n",
       "      <td>0.036</td>\n",
       "      <td>0.0324</td>\n",
       "      <td>0.0336</td>\n",
       "      <td>0.033</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0305</td>\n",
       "      <td>0.0281</td>\n",
       "      <td>0.0197</td>\n",
       "      <td>0.013</td>\n",
       "      <td>0.0284</td>\n",
       "      <td>0.0242</td>\n",
       "      <td>0.0239</td>\n",
       "      <td>0.0191</td>\n",
       "      <td>0.0239</td>\n",
       "      <td>0.0285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Portfolio</th>\n",
       "      <td>0.1721</td>\n",
       "      <td>0.0542</td>\n",
       "      <td>0.0523</td>\n",
       "      <td>0.0545</td>\n",
       "      <td>0.0879</td>\n",
       "      <td>0.1241</td>\n",
       "      <td>0.0606</td>\n",
       "      <td>0.1243</td>\n",
       "      <td>0.1062</td>\n",
       "      <td>0.0401</td>\n",
       "      <td>...</td>\n",
       "      <td>0.1108</td>\n",
       "      <td>0.1218</td>\n",
       "      <td>0.1318</td>\n",
       "      <td>0.1476</td>\n",
       "      <td>0.2353</td>\n",
       "      <td>0.2178</td>\n",
       "      <td>0.1991</td>\n",
       "      <td>0.2091</td>\n",
       "      <td>0.2677</td>\n",
       "      <td>0.0273</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>23 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              2000    2001    2002    2003    2004    2005    2006    2007  \\\n",
       "AAPL        0.0985 -0.0047  0.0113  0.0111  0.0321  0.0953   0.103  0.1456   \n",
       "ALGN      -21.1043 -2.4603 -1.0448  -0.164  0.0507  0.0068 -0.1694  0.1256   \n",
       "AMD         0.2117 -0.0156 -0.4831  -0.078  0.0182  0.0283 -0.0294 -0.5619   \n",
       "AMZN        -0.511 -0.1817 -0.0379  0.0066   0.085  0.0423  0.0177  0.0321   \n",
       "ASML        0.1599 -0.2597 -0.1061 -0.1039  0.0955  0.1232  0.1727  0.1781   \n",
       "AVGO           NaN     NaN     NaN     NaN     NaN     NaN -0.1659 -0.1041   \n",
       "BAC           0.13  0.1278  0.1994  0.2205  0.2155  0.1985  0.1859  0.1271   \n",
       "BLDR           NaN   0.001 -0.0064  0.0105  0.0251  0.0208  0.0308 -0.0149   \n",
       "CAMT         0.205 -0.0842 -0.4998 -0.0504  0.1601  0.0429   0.116 -0.1084   \n",
       "CWST       -0.3068  0.0093 -0.1495  0.0116  0.0091  0.0159 -0.0408 -0.0143   \n",
       "FICO        0.0927  0.1401  0.0456  0.1703  0.1455  0.1685  0.1254  0.1273   \n",
       "FIX        -0.0106  0.0085 -0.2552 -0.0071  0.0131 -0.0069  0.0272  0.0293   \n",
       "GOOGL      -0.7688  0.0808  0.2267  0.0721  0.1251  0.2387  0.2902  0.2533   \n",
       "KHC            NaN     NaN     NaN     NaN     NaN     NaN     NaN     NaN   \n",
       "META           NaN     NaN     NaN     NaN     NaN     NaN     NaN  -0.902   \n",
       "MPWR       -0.3052 -0.4394 -0.3018 -0.1808 -0.1184  0.0515 -0.0273  0.0864   \n",
       "MSFT        0.4098  0.2904   0.276   0.234  0.2217   0.308  0.2845  0.2751   \n",
       "NFLX       -1.6235 -0.5162 -0.1371  0.0239  0.0427  0.0616  0.0492  0.0555   \n",
       "NVDA        0.1094  0.1339  0.1292  0.0476  0.0408  0.0441  0.1268  0.1463   \n",
       "OXY         0.1157  0.0825  0.1348  0.1637  0.2251  0.3618   0.244  0.2865   \n",
       "SKY         0.0109  0.0138  0.0004  0.0002 -0.0198  0.0281 -0.2656 -0.0384   \n",
       "WMT         0.0322  0.0326   0.032  0.0323   0.035  0.0357   0.036  0.0324   \n",
       "Portfolio   0.1721  0.0542  0.0523  0.0545  0.0879  0.1241  0.0606  0.1243   \n",
       "\n",
       "             2008    2009  ...    2016    2017    2018    2019    2020   2021  \\\n",
       "AAPL       0.1488  0.1919  ...  0.2119  0.2109  0.2241  0.2124  0.2091 0.2588   \n",
       "ALGN       0.2631 -0.1001  ...  0.1757  0.1571  0.2035   0.184  0.7184 0.1953   \n",
       "AMD       -0.5387  0.0563  ... -0.1166 -0.0063   0.052  0.0507  0.2551 0.1924   \n",
       "AMZN       0.0337  0.0368  ...  0.0174  0.0171  0.0433  0.0413  0.0553  0.071   \n",
       "ASML       0.1091 -0.0946  ...  0.2266  0.2306  0.2368  0.2193  0.2542 0.3161   \n",
       "AVGO       0.0489 -0.0296  ... -0.1345  0.0959   0.588  0.1193  0.1115 0.2345   \n",
       "BAC        0.0221 -0.0157  ...  0.1723  0.1671  0.2435  0.2289  0.1757 0.3256   \n",
       "BLDR      -0.1348 -0.0912  ...  0.0227  0.0055  0.0266  0.0305  0.0366 0.0867   \n",
       "CAMT      -0.1266 -0.2213  ...  0.0432  0.1494  0.1521  0.1554  0.1397 0.2239   \n",
       "CWST      -0.1174  -0.025  ... -0.0121 -0.0364  0.0097  0.0426  0.1176 0.0462   \n",
       "FICO       0.1127  0.1032  ...  0.1242  0.1431  0.1225  0.1656  0.1826 0.2978   \n",
       "FIX        0.0374  0.0303  ...  0.0397  0.0309  0.0517  0.0437  0.0526 0.0466   \n",
       "GOOGL      0.1939  0.2757  ...  0.2158  0.1142  0.2246  0.2122  0.2206 0.2951   \n",
       "KHC           NaN     NaN  ...  0.1299  0.4196  -0.388  0.0775  0.0136 0.0389   \n",
       "META      -0.2059   0.157  ...  0.3697   0.392   0.396  0.2615   0.339 0.3338   \n",
       "MPWR       0.1509  0.1192  ...  0.1356  0.1385  0.1808  0.1733  0.1947 0.2004   \n",
       "MSFT       0.2926  0.2493  ...  0.2253  0.2639  0.1502  0.3118  0.3096 0.3645   \n",
       "NFLX       0.0608  0.0694  ...  0.0211  0.0478  0.0767  0.0926  0.1105 0.1723   \n",
       "NVDA       0.1946 -0.0088  ...  0.1226  0.2411  0.3137  0.3534  0.2561 0.2598   \n",
       "OXY        0.2822  0.1896  ... -0.0569  0.1047  0.2642 -0.0513 -0.9146 0.0582   \n",
       "SKY       -0.0926 -0.2128  ...     0.0  0.0148 -0.0428  0.0423  0.0597 0.1124   \n",
       "WMT        0.0336   0.033  ...  0.0305  0.0281  0.0197   0.013  0.0284 0.0242   \n",
       "Portfolio  0.1062  0.0401  ...  0.1108  0.1218  0.1318  0.1476  0.2353 0.2178   \n",
       "\n",
       "             2022   2023   2024   2025  \n",
       "AAPL       0.2531 0.2531 0.2397    NaN  \n",
       "ALGN       0.0968 0.1152 0.1054    NaN  \n",
       "AMD        0.0559 0.0377 0.0636    NaN  \n",
       "AMZN      -0.0053 0.0529 0.0929    NaN  \n",
       "ASML       0.2656 0.2844 0.2679    NaN  \n",
       "AVGO        0.338 0.3931 0.1143    NaN  \n",
       "BAC        0.2261 0.1446 0.1325    NaN  \n",
       "BLDR        0.121 0.0901 0.0657    NaN  \n",
       "CAMT       0.2525 0.2528 0.2787    NaN  \n",
       "CWST       0.0489 0.0201 0.0087    NaN  \n",
       "FICO       0.2712 0.2837 0.2986    NaN  \n",
       "FIX        0.0594 0.0621 0.0743    NaN  \n",
       "GOOGL       0.212 0.2401  0.286    NaN  \n",
       "KHC        0.0892 0.1072 0.1062    NaN  \n",
       "META        0.199 0.2898 0.3791    NaN  \n",
       "MPWR       0.2439 0.2347 0.8095    NaN  \n",
       "MSFT       0.3669 0.3415 0.3596 0.3615  \n",
       "NFLX       0.1421 0.1604 0.2234    NaN  \n",
       "NVDA       0.3623 0.1619 0.4885 0.5585  \n",
       "OXY        0.3428 0.1324 0.0872    NaN  \n",
       "SKY        0.1542 0.0724 0.0799    NaN  \n",
       "WMT        0.0239 0.0191 0.0239 0.0285  \n",
       "Portfolio  0.1991 0.2091 0.2677 0.0273  \n",
       "\n",
       "[23 rows x 26 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Net Profit Margin of the Portfolio'}>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "net_profit_margin = toolkit.ratios.get_net_profit_margin()\n",
    "\n",
    "display(net_profit_margin)\n",
    "\n",
    "net_profit_margin.loc[\"Portfolio\"].plot(\n",
    "    title=\"Net Profit Margin of the Portfolio\",\n",
    "    kind=\"bar\",\n",
    "    figsize=(15, 5),\n",
    "    rot=45,\n",
    "    color=\"skyblue\",\n",
    "    alpha=0.7,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c668f75b",
   "metadata": {},
   "source": [
    "We can do something similar with the Performance & Risk metrics as well with the added benefit that it becomes possible to compare the results to the benchmark again. This shows whether you might have a higher or lower risk profile compared to the benchmark. A good way to demonstrate this is through the calculation of the Beta and the Value at Risk."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c42af75d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Value at Risk'}>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "beta = toolkit.performance.get_beta()\n",
    "\n",
    "# The benchmark has a beta of 1 by definition\n",
    "beta[\"Benchmark\"] = 1\n",
    "\n",
    "beta[[\"Benchmark\", \"Portfolio\"]].plot(\n",
    "    title=\"Beta\", figsize=(15, 5), rot=0, color=[\"black\", \"green\"], grid=True\n",
    ")\n",
    "\n",
    "value_at_risk = toolkit.risk.get_value_at_risk()\n",
    "\n",
    "value_at_risk[[\"Benchmark\", \"Portfolio\"]].plot(\n",
    "    title=\"Value at Risk\",\n",
    "    kind=\"bar\",\n",
    "    figsize=(15, 5),\n",
    "    rot=45,\n",
    "    color=[\"skyblue\", \"salmon\"],\n",
    "    alpha=0.7,\n",
    "    grid=True,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "38ba8dd5",
   "metadata": {},
   "source": [
    "Furthermore, this can be extended in the Technicals module as well where you can calculate the Moving Averages, RSI, MACD and more for the assets in your portfolio. This can be useful to see whether the assets are overbought or oversold and whether the assets are in a bullish or bearish trend."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e8b19be2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x1000 with 28 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "\n",
    "rsi = toolkit.technicals.get_relative_strength_index()\n",
    "\n",
    "rsi.plot(\n",
    "    subplots=True,\n",
    "    figsize=(15, 10),\n",
    "    title=\"Relative Strength Index\",\n",
    "    alpha=0.7,\n",
    "    layout=(7, 4),\n",
    "    legend=False,\n",
    ")\n",
    "\n",
    "for ax, col in zip(plt.gcf().axes, rsi.columns):\n",
    "    ax.axhline(y=70, color=\"black\", linestyle=\"-\")\n",
    "    ax.axhline(y=30, color=\"black\", linestyle=\"-\")\n",
    "    ax.set_title(col)\n",
    "    ax.tick_params(axis=\"x\", rotation=45)\n",
    "    ax.set_ylim(0, 100)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  }
 ],
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